Software Engineer III Core Platform

BLUE ORIGIN•Seattle, WA

2d•$164,652 - $230,513

About The Position

Blue Origin is seeking a Software Engineer III for the Core Platform team within its Serenity Platform, part of Enterprise Technology. The team owns foundational platform services used across aerospace engineering, manufacturing, supply chain, mission operations, and other parts of the company. These include a centralized managed API layer and shared data-model management, event-driven messaging, configurable workflow orchestration and business-rules engines, and real-time data pipelines. The role involves designing, building, and operating scalable, highly available backend services and APIs, as well as contributing to cloud infrastructure, event-driven data systems, and React web interfaces. The engineer will help evolve the platform’s architecture and ensure reliability, scalability, security, and effective operations for mission-critical workloads. The team uses AI-assisted development tools as part of its engineering workflow and expects engineers to evaluate and use them responsibly. The position works closely with Senior and Principal Engineers, product managers, business stakeholders, and engineers across the Serenity Platform. It includes production ownership and participation in on-call rotations. The stated base pay range for Washington applicants is $164,652.00–$230,512.80; ranges at other sites may differ. Applicants must meet the listed U.S. citizenship, permanent residency, refugee, or asylum status requirement.

Requirements

At least 5 years of professional software development experience, including production deployment.
Proficiency in at least one statically typed language (Go or Java) and one dynamically typed language (JavaScript/TypeScript or Python).
Strong foundations in computer science, including algorithms, data structures, distributed systems, and object-oriented design.
Track record of delivering production software end to end, from design through deployment and ongoing operations.
Hands-on experience with AWS services and cloud-native application development.
Working knowledge of REST and/or GraphQL API design and integration patterns.
Experience with asynchronous APIs and message brokers such as NATS, Kafka, or similar, and with designing API/event contracts consumed by other engineering teams.
Understanding of relational and NoSQL databases, including schema design and query optimization.
Experience with CI/CD pipelines, automated testing (unit, integration, and end-to-end), and deployment best practices.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Experience supporting production systems on-call, including incident response and postmortem practices.
Habit of using AI-assisted development tools such as Claude Code, Codex, or equivalent as part of the engineering workflow, with judgment to evaluate their output.
Strong communication skills, including explaining technical concepts, participating constructively in design discussions, and owning outcomes.
Ability to deliver working solutions amid ambiguous or evolving requirements.
Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Nice To Haves

Experience with workflow orchestration, business-process or rules engines, and configuration- or data-driven system design.
Familiarity with event-driven architectures and asynchronous messaging patterns at scale.
Experience building real-time or event-streaming data systems.
Experience building or consuming GraphQL APIs, including schema design and federation concepts.
React frontend experience, including component architecture, state management, and performance optimization.
Exposure to infrastructure-as-code tools such as Terraform or AWS CDK.
Experience with distributed tracing and observability platforms such as Datadog or OpenTelemetry.
Experience extending or integrating commercial enterprise platforms such as ERP, PLM, or MES.
Experience integrating AI/LLM APIs such as Claude or OpenAI into backend services or platform workflows.
Familiarity with prompt engineering and responsible use of generative AI in enterprise platform contexts.
Experience evaluating AI-generated code for correctness, security, and production readiness.
Track record of mentoring junior engineers through code reviews, design discussions, and technical guidance.
Experience in aerospace, manufacturing, or supply chain domains.

Responsibilities

Design, build, and operate scalable, highly available backend services and APIs for the enterprise platform.
Develop and own Go and Java microservices and distributed-system components using clean architecture and domain-driven design principles.
Build and evolve the managed API layer and shared data-model management, including API and event contracts with backward compatibility and versioning.
Develop configuration- and schema-driven workflows and decision tables whose behavior can be changed without a code deployment.
Architect integrations between internal systems and commercial platforms using REST, GraphQL, message queues, and event-driven patterns.
Propose and implement technical architectures and communicate designs to peers and stakeholders.
Build and maintain cloud-native solutions on AWS and infrastructure-as-code for reliable deployments across environments.
Own service reliability by participating in on-call rotations, responding to incidents, conducting root-cause analyses, and implementing lasting fixes.
Establish monitoring, alerting, logging, and distributed-tracing practices.
Build real-time, event-driven data pipelines for high-volume streams, downstream systems, and live dashboards.
Build and enhance React interfaces using modern JavaScript or TypeScript, and collaborate with frontend engineers and designers on API integration.
Write maintainable, well-tested code and promote quality through code reviews, automated testing, and CI/CD practices.
Use AI-assisted development tools to improve delivery and code quality; evaluate and integrate AI/LLM capabilities where they provide value while addressing reliability, security, and governance.
Resolve software issues across service logic, database performance, deployment configuration, and client integration.
Contribute to team standards, playbooks, and documentation.
Collaborate with Senior and Principal Engineers, product managers, business stakeholders, and Serenity Platform teams to deliver platform capabilities.
Participate in design reviews, sprint ceremonies, and technical discussions.
Contribute to reliability, scalability, or developer-experience improvements and, over time, mentor peers and support engineering standards.

Benefits

Medical insurance
Dental insurance
Vision insurance
Basic and supplemental life insurance
Paid parental leave
Short- and long-term disability
401(k) with company match of up to 5%
Education Support Program
Stock options for regular employees working at least 20 hours per week
Paid time off of up to four weeks per year based on weekly scheduled hours
Up to 14 company-paid holidays
Potential eligibility for bonuses, depending on role type and job level; amounts and eligibility are not guaranteed